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<div class="title">pooling_layer_quantized.cl</div>  </div>
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<a href="pooling__layer__quantized_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">   27</a></span>&#160;<span class="preprocessor">#define POOL_OP(x, y) ((x) + (y))</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#define POOL_OP(x, y) (max((x), (y)))</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">   32</a></span>&#160;<span class="preprocessor">#define DIV_OP(x, y) (x * (1.f / y))</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">   34</a></span>&#160;<span class="preprocessor">#define DIV_OP_NHWC(x, y) (convert_float8(x) * (float8)(1.f / y))</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#if defined(POOL_L2)</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#error &quot;L2 pooling is not supported&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_L2) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">   40</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y, <span class="keyword">const</span> <span class="keywordtype">int</span> upper_bound_w, <span class="keyword">const</span> <span class="keywordtype">int</span> upper_bound_h,</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                        <span class="keyword">const</span> <span class="keywordtype">int</span> pad_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <span class="keywordtype">int</span>       start_x = get_global_id(0) * stride_x - pad_x;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keywordtype">int</span>       start_y = get_global_id(1) * stride_y - pad_y;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> end_x   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_x + pool_size_x, upper_bound_w);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> end_y   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_y + pool_size_y, upper_bound_h);</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="preprocessor">#if defined(EXCLUDE_PADDING)</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    start_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, start_x);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    start_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, start_y);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(EXCLUDE_PADDING) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;}</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">   80</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">pooling_layer_MxN_quantized_nchw</a>(</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;{</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input  = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    int8 vdata = 0;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordtype">int</span>  sdata = 0;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="comment">// Load data</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y &lt; POOL_SIZE_Y; y++)</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    {</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keywordtype">int</span> x = 0;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">for</span>(; x &lt;= ((int)POOL_SIZE_X - 8); x += 8)</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        {</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            uchar8 data = vload8(0, (__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, x, y, 0));</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;            int8 data0  = convert_int8(data);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;            vdata       = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        }</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        <span class="comment">// Leftover</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        <span class="keywordflow">for</span>(; x &lt; (int)POOL_SIZE_X; ++x)</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            uchar data = *((__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, x, y, 0));</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;            <span class="keywordtype">int</span> data0  = convert_int(data);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            sdata      = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(sdata, data0);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        }</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    }</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="comment">// Reduce result</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    int4 reduce4 = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata.s0123, vdata.s4567);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    int2 reduce2 = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(reduce4.s01, reduce4.s23);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordtype">int</span>  res     = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(reduce2.s0, reduce2.s1);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    res          = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(res, sdata);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    res = <a class="code" href="namespacearm__compute.xhtml#a6452ac376d4adb94d93a93d678bb6757">round</a>(<a class="code" href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a>(res, <a class="code" href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</a>(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y)));</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="comment">// Store result</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    *(__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> = convert_uchar(res);</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;}</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">  125</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">calculate_avg_scale_nhwc</a>(<span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pool_size_y, <span class="keywordtype">int</span> upper_bound_w, <span class="keywordtype">int</span> upper_bound_h,</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">int</span> pad_x, <span class="keyword">const</span> <span class="keywordtype">int</span> pad_y, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_x, <span class="keyword">const</span> <span class="keywordtype">int</span> stride_y)</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;{</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keywordtype">int</span> start_x = get_global_id(1) * stride_x - pad_x;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="keywordtype">int</span> start_y = get_global_id(2) * stride_y - pad_y;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> end_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_x + pool_size_x, upper_bound_w);</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> end_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>(start_y + pool_size_y, upper_bound_h);</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    start_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, start_x);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    start_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, start_y);</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keywordflow">return</span> ((end_y - start_y) * (end_x - start_x));</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;}</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="pooling__layer__quantized_8cl.xhtml#a747409ec1866adc96ee62d1e08ec502f">  166</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="pooling__layer__quantized_8cl.xhtml#a747409ec1866adc96ee62d1e08ec502f">pooling_layer_MxN_quantized_nhwc</a>(</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(input),</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(output))</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;{</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input  = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    int8 vdata = 0;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> idx_width  = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> idx_height = get_global_id(2) * STRIDE_Y;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y &lt; POOL_SIZE_Y; ++y)</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    {</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        <span class="keywordtype">int</span> y1 = select(y, PAD_Y - idx_height, y + idx_height &lt; PAD_Y || y + idx_height &gt; MAX_HEIGHT);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x &lt; POOL_SIZE_X; ++x)</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        {</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;            <span class="keywordtype">int</span> x1      = select(x, PAD_X - idx_width - 1, x + idx_width &lt; PAD_X || x + idx_width &gt; MAX_WIDTH);</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;            x1          = select(x1, PAD_X - idx_width - 1, y != y1);</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;            uchar8 data = vload8(0, (__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;input, 0, x1 - PAD_X, y1 - PAD_Y));</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;            int8 data0  = convert_int8(data);</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;            vdata       = <a class="code" href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a>(vdata, data0);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;        }</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    }</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="preprocessor">#if defined(POOL_AVG)</span></div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    <span class="comment">// Divide by pool region in case of average pooling</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    vdata = convert_int8(<a class="code" href="namespacearm__compute.xhtml#a6452ac376d4adb94d93a93d678bb6757">round</a>(<a class="code" href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a>(vdata, <a class="code" href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">calculate_avg_scale_nhwc</a>(POOL_SIZE_X, POOL_SIZE_Y, MAX_WIDTH, MAX_HEIGHT, PAD_X, PAD_Y, STRIDE_X, STRIDE_Y))));</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* defined(POOL_AVG) */</span><span class="preprocessor"></span></div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="comment">// Store result</span></div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    vstore8(convert_uchar8(vdata), 0, (__global uchar *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00119">helpers.h:119</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a5c74cefcb6318451b5785dd00bd9b05f"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a5c74cefcb6318451b5785dd00bd9b05f">pooling_layer_MxN_quantized_nchw</a></div><div class="ttdeci">__kernel void pooling_layer_MxN_quantized_nchw(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</div><div class="ttdoc">Performs a pooling function of pool size equal to N (NCHW) </div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00080">pooling_layer_quantized.cl:80</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a482ef7d59a5f474ca126e737c7f0978a"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a482ef7d59a5f474ca126e737c7f0978a">POOL_OP</a></div><div class="ttdeci">#define POOL_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00027">pooling_layer_quantized.cl:27</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a747409ec1866adc96ee62d1e08ec502f"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a747409ec1866adc96ee62d1e08ec502f">pooling_layer_MxN_quantized_nhwc</a></div><div class="ttdeci">__kernel void pooling_layer_MxN_quantized_nhwc(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</div><div class="ttdoc">Performs a pooling function of pool size equal to N (NHWC) </div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00166">pooling_layer_quantized.cl:166</a></div></div>
<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a235920cb0f8577da6e104ccb03fbda25"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a235920cb0f8577da6e104ccb03fbda25">calculate_avg_scale_nhwc</a></div><div class="ttdeci">int calculate_avg_scale_nhwc(const int pool_size_x, const int pool_size_y, int upper_bound_w, int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00125">pooling_layer_quantized.cl:125</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00315">helpers.h:315</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00076">helpers.h:76</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a5db17889d824975fefb2ce2f4690637f"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a5db17889d824975fefb2ce2f4690637f">DIV_OP</a></div><div class="ttdeci">#define DIV_OP(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00032">pooling_layer_quantized.cl:32</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a6452ac376d4adb94d93a93d678bb6757"><div class="ttname"><a href="namespacearm__compute.xhtml#a6452ac376d4adb94d93a93d678bb6757">arm_compute::round</a></div><div class="ttdeci">int round(float x, RoundingPolicy rounding_policy)</div><div class="ttdoc">Return a rounded value of x. </div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00153">helpers.h:153</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a6c01fa98d360a9d52926dc6a5a599711"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a6c01fa98d360a9d52926dc6a5a599711">DIV_OP_NHWC</a></div><div class="ttdeci">#define DIV_OP_NHWC(x, y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00034">pooling_layer_quantized.cl:34</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
<div class="ttc" id="pooling__layer__quantized_8cl_xhtml_a4057c01dd49145c5e463f1cea52542df"><div class="ttname"><a href="pooling__layer__quantized_8cl.xhtml#a4057c01dd49145c5e463f1cea52542df">calculate_avg_scale</a></div><div class="ttdeci">int calculate_avg_scale(const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, const int pad_x, const int pad_y, const int stride_x, const int stride_y)</div><div class="ttdef"><b>Definition:</b> <a href="pooling__layer__quantized_8cl_source.xhtml#l00040">pooling_layer_quantized.cl:40</a></div></div>
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